[HTML][HTML] A/B testing: A systematic literature review
A/B testing, also referred to as online controlled experimentation or continuous
experimentation, is a form of hypothesis testing where two variants of a piece of software are …
experimentation, is a form of hypothesis testing where two variants of a piece of software are …
[PDF][PDF] Challenges and strategies for undertaking continuous experimentation to embedded systems: Industry and research perspectives
HH Olsson - Agile Processes in Software Engineering and …, 2018 - library.oapen.org
Context: Continuous experimentation is frequently used in web-facing companies and it is
starting to gain the attention of embedded systems companies. However, embedded …
starting to gain the attention of embedded systems companies. However, embedded …
[HTML][HTML] Controlled experimentation in continuous experimentation: Knowledge and challenges
Context: Continuous experimentation and A/B testing is an established industry practice that
has been researched for more than 10 years. Our aim is to synthesize the conducted …
has been researched for more than 10 years. Our aim is to synthesize the conducted …
How to get good at data: 5 steps
Data allows companies to transition towards data-driven organizations and this is, in our
experience, one of the highest-priority goals that many companies have. However, despite …
experience, one of the highest-priority goals that many companies have. However, despite …
Parallel genomic sequence-searching on an ad-hoc grid: experiences, lessons learned, and implications
The Basic Local Alignment Search Tool (BLAST) allows bioinformaticists to characterize an
unknown sequence by comparing it against a database of known sequences. The similarity …
unknown sequence by comparing it against a database of known sequences. The similarity …
Exploring Millions of User Interactions with ICEBOAT: Big Data Analytics for Automotive User Interfaces
P Ebel, KJ Gülle, C Lingenfelder… - Proceedings of the 15th …, 2023 - dl.acm.org
User Experience (UX) professionals need to be able to analyze large amounts of usage data
on their own to make evidence-based design decisions. However, the design process for In …
on their own to make evidence-based design decisions. However, the design process for In …
[HTML][HTML] Undulate: A framework for data-driven software engineering enabling soft computing
T Asikainen, T Männistö - Information and Software Technology, 2022 - Elsevier
Context. Especially web-facing software systems enable the collection of usage data at a
massive scale. At the same time, the scale and scope of software processes have grown …
massive scale. At the same time, the scale and scope of software processes have grown …
Adapting a system with noisy outputs with statistical guarantees
Many complex systems are intrinsically stochastic in their behavior which complicates their
control and optimization. Current self-adaptation and self-optimization approaches are not …
control and optimization. Current self-adaptation and self-optimization approaches are not …
Proactive antifragility: A new paradigm for next-generation cyber defence at the edge
Recent advances in the Internet of Things (IoT) and, more generally, distributed computing
research have given rise to various edge-oriented computing paradigms including Edge …
research have given rise to various edge-oriented computing paradigms including Edge …
More for less: automated experimentation in software-intensive systems
Companies develo** autonomous and software-intensive systems show an increasing
need to adopt experimentation and data-driven strategies in their development process …
need to adopt experimentation and data-driven strategies in their development process …